Data Engineering
Data Engineering
We build data pipelines and infrastructure that transform raw data into ML-ready features. Handle batch processing, real-time streaming, and everything in between.
Data pipeline design & implementation (batch & streaming)
ETL/ELT processes (extract, transform, load)
Data validation & quality checks (Great Expectations)
Feature engineering pipelines (automated feature generation)
Real-time streaming (Kafka, Kinesis, Pub/Sub)
What We Do:
- Data pipeline design & implementation (batch & streaming)
- ETL/ELT processes (extract, transform, load)
- Data validation & quality checks (Great Expectations)
- Feature engineering pipelines (automated feature generation)
- Real-time streaming (Kafka, Kinesis, Pub/Sub)
- Data warehousing (Snowflake, BigQuery, Redshift)
- Data lake architecture (S3, GCS, Delta Lake)
- Batch & streaming processing (Spark, Flink)
- Data cataloging & lineage (track data flow)
TECH STACK
Python, SQL, Apache Airflow, Apache Kafka, Apache Spark, Snowflake, BigQuery, dbt, Great Expectations
TIMELINE
4-10 weeks
INVESTMENT
From $20,000
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